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or currently working towards a CCAB-recognised professional accounting qualification, with a proven track record of managing large data sets and reconciling complex financial records. We are UAL University
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maintenance of large-scale GPU clusters within our data centres, ensuring optimal performance and reliability. Strategy Development: Develop, execute and evangelize GPU strategy which considers platform
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large data sets. Strong attention to detail and the ability to work collaboratively across the University are essential. Ref: 25AQSA0700 (307) Interviews: due to be held on week commencing 04 August 2025.
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successful collaboration on the Common Data Environment (CDE) and support successful processing of information through workflows. Push the boundaries of analysing, interpreting and presenting large quantities
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Experience with a high-level programming language (e.g. Python, Julia) Experience using and processing a variety of hydrological and environmental data sources, including large spatiotemporal datasets
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within a large organisation. Glasgow is one of the world's top 100 universities and is a member of the prestigious Russell Group of leading UK research universities. It has more than 33,000 undergraduate
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true team player, customer focused and provide support across the University. They will have experience in the use of large data systems and a good understanding of data structures. They will be able
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emulators. All work is theoretical/computer based and no real-world deployment of SRM techniques is included. Focus will be on understanding climate thresholds that may lead to large-scale dieback
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access to expertly curated, longitudinal, multimodal cancer datasets and AI models for researchers in industry and academic institutions. The data and the development of AI within the platform, in
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institutional priorities, strengthens the sustainability of large-scale investments, enhances research performance, and leads coordination across the research development service. The post also supports strategic